{"id":"https://openalex.org/W4380320333","doi":"https://doi.org/10.1145/3593013.3594085","title":"Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation","display_name":"Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation","publication_year":2023,"publication_date":"2023-06-12","ids":{"openalex":"https://openalex.org/W4380320333","doi":"https://doi.org/10.1145/3593013.3594085"},"language":"en","primary_location":{"id":"doi:10.1145/3593013.3594085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3593013.3594085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness Accountability and Transparency","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041530401","display_name":"Kathleen Cachel","orcid":"https://orcid.org/0000-0002-1260-0914"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kathleen Cachel","raw_affiliation_strings":["Worcester Polytechnic Institute, USA"],"raw_orcid":"https://orcid.org/0000-0002-1260-0914","affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008269094","display_name":"Elke A. Rundensteiner","orcid":"https://orcid.org/0000-0001-5375-9254"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elke Rundensteiner","raw_affiliation_strings":["Worcester Polytechnic Institute, USA"],"raw_orcid":"https://orcid.org/0000-0001-5375-9254","affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041530401"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":3.9084,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.94352896,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1347","last_page":"1357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9395999908447266,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.8164693117141724},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8016570806503296},{"id":"https://openalex.org/keywords/aggregation-problem","display_name":"Aggregation problem","score":0.6595777273178101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514951586723328},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6144468784332275},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5650706887245178},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5407164096832275},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5034276843070984},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47153741121292114},{"id":"https://openalex.org/keywords/voter-model","display_name":"Voter model","score":0.42173439264297485},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3500405251979828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2272081971168518},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17684510350227356},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16287705302238464},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.13607677817344666},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.13138628005981445},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1132485568523407}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8164693117141724},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8016570806503296},{"id":"https://openalex.org/C32172795","wikidata":"https://www.wikidata.org/wiki/Q4692266","display_name":"Aggregation problem","level":2,"score":0.6595777273178101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514951586723328},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6144468784332275},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5650706887245178},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5407164096832275},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5034276843070984},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47153741121292114},{"id":"https://openalex.org/C2781396049","wikidata":"https://www.wikidata.org/wiki/Q7942158","display_name":"Voter model","level":2,"score":0.42173439264297485},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3500405251979828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2272081971168518},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17684510350227356},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16287705302238464},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.13607677817344666},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.13138628005981445},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1132485568523407},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3593013.3594085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3593013.3594085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness Accountability and Transparency","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1965794541","https://openalex.org/W1968671254","https://openalex.org/W1971237844","https://openalex.org/W2051834357","https://openalex.org/W2102693936","https://openalex.org/W2142642104","https://openalex.org/W2151592910","https://openalex.org/W2318031348","https://openalex.org/W2484891765","https://openalex.org/W2506867030","https://openalex.org/W2768254850","https://openalex.org/W2787991113","https://openalex.org/W2788017180","https://openalex.org/W2913539872","https://openalex.org/W2997842202","https://openalex.org/W2998075745","https://openalex.org/W3012903288","https://openalex.org/W3023202929","https://openalex.org/W3023222102","https://openalex.org/W3028722847","https://openalex.org/W3086107884","https://openalex.org/W3094600186","https://openalex.org/W3102518922","https://openalex.org/W3105035347","https://openalex.org/W3116852239","https://openalex.org/W3203944849","https://openalex.org/W4213170381","https://openalex.org/W4225378011","https://openalex.org/W4241237680","https://openalex.org/W4281848017","https://openalex.org/W4281966390","https://openalex.org/W4283156235","https://openalex.org/W4283156909","https://openalex.org/W4283168161","https://openalex.org/W4285059900","https://openalex.org/W4311072857"],"related_works":["https://openalex.org/W2011472225","https://openalex.org/W2767338541","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W3160516639","https://openalex.org/W2551424541","https://openalex.org/W4285168597","https://openalex.org/W2798198862","https://openalex.org/W2003616327"],"abstract_inverted_index":{"In":[0,58,97],"social":[1],"choice,":[2],"traditional":[3],"Kemeny":[4,66,162],"rank":[5,37,112],"aggregation":[6,38,113],"combines":[7],"the":[8,63,102,111,160,165,188],"preferences":[9,76],"of":[10,104,157,190],"voters,":[11],"expressed":[12],"as":[13],"rankings,":[14,205],"into":[15,77,159],"a":[16,78,85,117,136,169],"single":[17,79],"consensus":[18,204],"ranking":[19,25,80],"without":[20],"consideration":[21],"for":[22,70,120,127,133],"how":[23],"this":[24,59],"may":[26],"unfairly":[27],"affect":[28],"marginalized":[29,95],"groups":[30],"(i.e.,":[31],"racial":[32],"or":[33],"gender).":[34],"Developing":[35],"fair":[36],"methods":[39],"is":[40,82,168],"critical":[41],"due":[42],"to":[43,110,145],"their":[44],"societal":[45],"influence":[46],"in":[47,197,203],"applications":[48],"prioritizing":[49],"job":[50],"applicants,":[51],"funding":[52],"proposals,":[53],"and":[54,73,115,182],"scheduling":[55],"medical":[56],"patients.":[57],"work,":[60],"we":[61,100,186,195],"introduce":[62],"Fair":[64],"Exposure":[65],"Aggregation":[67],"Problem":[68],"(FairExp-kap)":[69],"combining":[71],"vast":[72],"diverse":[74],"voter":[75,121,209],"that":[81,130,140,173,194],"not":[83,92],"only":[84],"suitable":[86],"consensus,":[87],"but":[88],"ensures":[89],"opportunities":[90],"are":[91],"withheld":[93],"from":[94,107],"groups.":[96],"formalizing":[98],"FairExp-kap,":[99],"extend":[101],"fairness":[103,156],"exposure":[105,158,201],"notion":[106],"information":[108],"retrieval":[109],"context":[114],"present":[116],"complimentary":[118],"metric":[119],"preference":[122],"representation.":[123],"We":[124],"design":[125],"algorithms":[126],"solving":[128],"FairExp-kap":[129,151],"explicitly":[131],"account":[132],"position":[134],"bias,":[135],"common":[137],"ranking-based":[138],"concern":[139],"end-users":[141],"pay":[142],"more":[143],"attention":[144],"higher":[146],"ranked":[147,175],"candidates.":[148],"epik":[149],"solves":[150],"exactly":[152],"by":[153],"incorporating":[154],"non-pairwise":[155],"pairwise":[161],"optimization;":[163],"while":[164,206],"approximate":[166],"epira":[167],"candidate":[170,176],"swapping":[171],"algorithm,":[172],"guarantees":[174],"fairness.":[177],"Utilizing":[178],"comprehensive":[179],"synthetic":[180],"simulations":[181],"six":[183],"real-world":[184],"datasets,":[185],"show":[187],"efficacy":[189],"our":[191],"approach":[192],"illustrating":[193],"succeed":[196],"mitigating":[198],"disparate":[199],"group":[200],"unfairness":[202],"maximally":[207],"representing":[208],"preferences.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}